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ICCAD
2007
IEEE
175views Hardware» more  ICCAD 2007»
16 years 3 months ago
Compact modeling of variational waveforms
— In ultra-deep sub-micron technologies, modeling waveform shapes correctly is essential for accurate timing and noise analysis. Due to process and environmental variations, ther...
Vladimir Zolotov, Jinjun Xiong, Soroush Abbaspour,...
BIS
2010
246views Business» more  BIS 2010»
15 years 8 months ago
On the Cognitive Effectiveness of Routing Symbols in Process Modeling Languages
Abstract. Process models provide visual support for analyzing and improving complex organizational processes. In this paper, we discuss differences of process modeling languages us...
Kathrin Figl, Jan Mendling, Mark Strembeck, Jan Re...
NECO
2008
111views more  NECO 2008»
15 years 6 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
CORR
2010
Springer
156views Education» more  CORR 2010»
15 years 7 months ago
Modelling Reactive and Proactive Behaviour in Simulation
: This research investigated the simulation model behaviour of a traditional and combined discrete event as well as agent based simulation models when modelling human reactive and ...
Mazlina Abdul Majid, Peer-Olaf Siebers, Uwe Aickel...
164
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WRAC
2005
Springer
16 years 9 days ago
Autonomy Without Independence: Animal Training as a Model for Robot Design
A classic autonomous robot is an autonomous agent for open, unpredictable environments. Such an agent is inherently autonomous but not independent. Independence implies unpredictab...
David C. Wyland
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